How to make an inclusive-fitness model
Social behaviours are typically modelled using neighbour-modulated fitness, which focuses on individuals having their fitness altered by neighbours. However, these models are either interpreted using inclusive fitness, which focuses on individuals altering the fitness of neighbours, or not interpret...
| Päätekijät: | , |
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| Aineistotyyppi: | Journal article |
| Kieli: | English |
| Julkaistu: |
The Royal Society
2023
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| Aiheet: |
| _version_ | 1826311184453730304 |
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| author | Scott, TW Wild, G |
| author_facet | Scott, TW Wild, G |
| author_sort | Scott, TW |
| collection | OXFORD |
| description | Social behaviours are typically modelled using neighbour-modulated fitness, which focuses on individuals having their fitness altered by neighbours. However, these models are either interpreted using inclusive fitness, which focuses on individuals altering the fitness of neighbours, or not interpreted at all. This disconnect leads to interpretational mistakes and obscures the adaptive significance of behaviour. We bridge this gap by presenting a systematic methodology for constructing inclusive-fitness models. We find a behaviour’s ‘inclusive-fitness effect’ by summing primary and secondary deviations in reproductive value. Primary deviations are the immediate result of a social interaction; for example, the cost and benefit of an altruistic act. Secondary deviations are compensatory effects that arise because the total reproductive value of the population is fixed; for example, the increased competition that follows an altruistic act. Compared to neighbour-modulated fitness methodologies, our approach is often simpler and reveals the model’s inclusive-fitness narrative clearly. We implement our methodology first in a homogeneous population, with supplementary examples of help under synergy, help in a viscous population and Creel’s paradox. We then implement our methodology in a class-structured population, where the advantages of our approach are most evident, with supplementary examples of altruism between age classes, and sex-ratio evolution. |
| first_indexed | 2024-03-07T08:04:36Z |
| format | Journal article |
| id | oxford-uuid:168f12c1-db9e-4d09-8ac2-f45fd28ebb36 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T08:04:36Z |
| publishDate | 2023 |
| publisher | The Royal Society |
| record_format | dspace |
| spelling | oxford-uuid:168f12c1-db9e-4d09-8ac2-f45fd28ebb362023-10-23T10:58:02ZHow to make an inclusive-fitness modelJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:168f12c1-db9e-4d09-8ac2-f45fd28ebb36theoretical biologyevolutionEnglishSymplectic ElementsThe Royal Society2023Scott, TWWild, GSocial behaviours are typically modelled using neighbour-modulated fitness, which focuses on individuals having their fitness altered by neighbours. However, these models are either interpreted using inclusive fitness, which focuses on individuals altering the fitness of neighbours, or not interpreted at all. This disconnect leads to interpretational mistakes and obscures the adaptive significance of behaviour. We bridge this gap by presenting a systematic methodology for constructing inclusive-fitness models. We find a behaviour’s ‘inclusive-fitness effect’ by summing primary and secondary deviations in reproductive value. Primary deviations are the immediate result of a social interaction; for example, the cost and benefit of an altruistic act. Secondary deviations are compensatory effects that arise because the total reproductive value of the population is fixed; for example, the increased competition that follows an altruistic act. Compared to neighbour-modulated fitness methodologies, our approach is often simpler and reveals the model’s inclusive-fitness narrative clearly. We implement our methodology first in a homogeneous population, with supplementary examples of help under synergy, help in a viscous population and Creel’s paradox. We then implement our methodology in a class-structured population, where the advantages of our approach are most evident, with supplementary examples of altruism between age classes, and sex-ratio evolution. |
| spellingShingle | theoretical biology evolution Scott, TW Wild, G How to make an inclusive-fitness model |
| title | How to make an inclusive-fitness model |
| title_full | How to make an inclusive-fitness model |
| title_fullStr | How to make an inclusive-fitness model |
| title_full_unstemmed | How to make an inclusive-fitness model |
| title_short | How to make an inclusive-fitness model |
| title_sort | how to make an inclusive fitness model |
| topic | theoretical biology evolution |
| work_keys_str_mv | AT scotttw howtomakeaninclusivefitnessmodel AT wildg howtomakeaninclusivefitnessmodel |